Bayesian clustering of mixed-type data with relevant variable identification
This paper presents a Bayesian nonparametric model for clustering datasets with continuous, ordinal, and nominal variables. The ordinal and nominal variables are treated using the latent variables framework based on the multivariate probit and the multinomial probit models. Combining the continuous...
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| Main Authors: | , , , , |
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| Format: | Article |
| Published: |
Taylor and Francis L
2024
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120059/ https://www.tandfonline.com/doi/full/10.1080/03610918.2024.2361135 |
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